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license: apache-2.0 |
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datasets: |
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- huanngzh/DeepFashion-Refs2Target |
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# Model Card for Parts2Whole |
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<!-- Provide a quick summary of what the model is/does. --> |
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Parts2Whole, a novel framework designed for generating customized portraits from multiple reference images, including pose images and various aspects of human appearance. |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** Zehuan Huang, Hongxing Fan, Lipeng Wang |
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- **Model type:** human image diffusion model |
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- **License:** apache-2.0 |
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- **Finetuned from model [optional]:** Stable Diffusion 1-5 |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://github.com/huanngzh/Parts2Whole |
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- **Paper [optional]:** https://arxiv.org/abs/2404.15267 |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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For usage instructions, please refer to [our Parts2Whole GitHub repository](https://github.com/huanngzh/Parts2Whole). |
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## Training Details |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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https://huggingface.co/datasets/huanngzh/DeepFashion-Refs2Target |
